2022 International Symposium on Intelligent Robotics and Systems (ISoIRS)最新文献

An Improved Method of Equipment Thermal Effect on Command and Control System Based on BPNN and Incremental PID 基于BPNN和增量PID的指挥控制系统设备热效应改进方法

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/ISoIRS57349.2022.00037

Jie Tao, X. Wang, Peizhang Cui, Zhaorui Li, B. Guo

引用次数: 0

The Design of A Buoy-Chain Type Offshore Wave Energy Converter 一种浮筒式近海波浪能转换器的设计

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/ISoIRS57349.2022.00044

Tianyu Song, Honghao Zheng, Zhanhong Wan, Ze Li, Shengze Shi, Tingting Li, Junwei Huang

引用次数: 0

An Improved Lightweight Framework for Handwritten Chinese Text Recognition Based on CRNN 基于CRNN的手写体中文文本识别改进轻量级框架

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/ISoIRS57349.2022.00010

Lu Shen, Su-Kit Tang, S. Mirri

{"title":"An Improved Lightweight Framework for Handwritten Chinese Text Recognition Based on CRNN","authors":"Lu Shen, Su-Kit Tang, S. Mirri","doi":"10.1109/ISoIRS57349.2022.00010","DOIUrl":"https://doi.org/10.1109/ISoIRS57349.2022.00010","url":null,"abstract":"Robots with computer vision and text recognition functions are widely used in industrial production, especially in highly automated factories. However, most robots have an excellent ability to recognize printed characters and show low accuracy in recognition of handwritten characters. Therefore, this paper considers recognizing handwritten text in the intelligent processing of handwritten documents. Its high accuracy prediction results are closely related to the effectiveness of manuscript input, intelligent translation, and intelligent scoring. Handwritten text is more difficult to recognize because it contains sequential information, and the images are more complex than single-character images. This paper proposes a new handwritten Chinese text recognition (HCTR) framework based on existing classical convolutional neural network (CNN) and recurrent neural network (RNN) algorithms. We use a handwritten Chinese text dataset from CASIA-HWDB containing numbers and symbols close to real application scenarios to train the model and compare the performance of various models, such as MobileNetV1 and MobileNetV2, with the proposed model. From the analysis of experimental results, it can be found that the proposed method can achieve higher performance with fewer parameters. In addition, we optimize the dropout rates of input blocks and obtain the best CER of our method is 6.11%.","PeriodicalId":405065,"journal":{"name":"2022 International Symposium on Intelligent Robotics and Systems (ISoIRS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123022254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Draw Patterns Based on Bezier Curves 设计和绘制基于贝塞尔曲线的图案

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/ISoIRS57349.2022.00011

Yuqi Ren, Shikai Liu, Yuhao Jiang, Jie Yan, Yuan Gao

引用次数: 0

An Optimal Scheduling Method of Tasks and Resources Based on MDLS Algorithm 基于MDLS算法的任务和资源最优调度方法

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/ISoIRS57349.2022.00038

Haijun Ye, Yahui Ma

引用次数: 0

Boosting Server Type Recognition with Multi-Task, Attention and Similarity Methods 用多任务、注意和相似方法提高服务器类型识别

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/ISoIRS57349.2022.00041

Wenzhe Wang, Hong Hao, Yan Gao, Qingshan Yin

{"title":"Boosting Server Type Recognition with Multi-Task, Attention and Similarity Methods","authors":"Wenzhe Wang, Hong Hao, Yan Gao, Qingshan Yin","doi":"10.1109/ISoIRS57349.2022.00041","DOIUrl":"https://doi.org/10.1109/ISoIRS57349.2022.00041","url":null,"abstract":"Periodic fixed asset inventory work in the data centre room requires server type recognition and number statistics of servers. However, most of the servers are similar in appearance, making the inventory and statistics work heavy. Therefore, this paper proposes a detection and recognition deep learning model based on server similarity. We integrate the detection and recognition tasks of the server into a unified architecture for end-to-end training. At the same time, the model supports open-set testing and use. The model mainly consists of one feature encoder and two decoders for object detection and recognition. Since there is no public dataset in this field, we use the Internet Data Centre (IDC) inspection robot to collect the dataset and conduct training and testing. The speed and accuracy are higher than other detection and recognition models. In addition, it can be achieved real-time processing on the embedded device Jetson Xavier NX. Experiments show that compared with the baseline model (YOLOX model [1]), the accuracy of our model is improved by 6% and the average precision improved by 2.9%. Moreover, it can reduce the oscillation of the learning rate and accelerate the convergence.","PeriodicalId":405065,"journal":{"name":"2022 International Symposium on Intelligent Robotics and Systems (ISoIRS)","volume":" 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132094592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent vehicle perpendicular parking path planning and tracking control 智能车辆垂直停放路径规划与跟踪控制

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/isoirs57349.2022.00026

Hu Guo

{"title":"Intelligent vehicle perpendicular parking path planning and tracking control","authors":"Hu Guo","doi":"10.1109/isoirs57349.2022.00026","DOIUrl":"https://doi.org/10.1109/isoirs57349.2022.00026","url":null,"abstract":"This paper presents a novel automatic perpendicular parking algorithm, taking into account the initial heading angle of the intelligent vehicle. The feasible parking starting point is located based on the vehicle’s minimum turning radius, the relative pose between the vehicle and the parking spot as well as the coordinates of right vertex of the parking space. The type of parking (i.e. single-step or multi-step) is determined on the basis of the collision avoidance constraint. Considering the constraint of the vehicle steering actuator, the quartic spline curve is used to smooth the single-step parking path and the last path into the parking space of multi-step parking, so as to improve the path characteristics. Then, a desired heading angle function of the vehicle is introduced, and the lateral displacement deviation in path tracking tends to zero when the actual heading angle approaches the desired heading angle. Subsequently, a nonlinear integral sliding mode controller (NISMC) with the hyperbolic tangent function based on dynamic boundary layer as the switching function is proposed to track the desired heading angle, so as to complete the path-tracking process. Co-simulations and Hardware-in-the-Loop (HIL) tests are carried out to verify the effectiveness of the designed algorithm, simulation and test results show that the desired parking path can be feasibly planned even when the vehicle has an initial heading angle; meanwhile, the tracking performance based on the proposed NISMC controller not only has small tracking error, smooth control output, but also strong response rate and robustness.","PeriodicalId":405065,"journal":{"name":"2022 International Symposium on Intelligent Robotics and Systems (ISoIRS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130429483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Simulation Verification of Aircraft Altitude Control Based on Hybrid Algorithm 基于混合算法的飞机高度控制设计与仿真验证

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/ISoIRS57349.2022.00042

Lingling Wang, Yin XinYu

引用次数: 0

Layout Optimization of Smart Charging Piles on Highways Based on Nonlinear Integer Programming 基于非线性整数规划的高速公路智能充电桩布局优化

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/isoirs57349.2022.00043

Hang Su, Lingjing Duan, Qiansong Luo, Binjie Song

引用次数: 0

Message from Program Chair 项目主席致辞

2022 International Symposium on Intelligent Robotics and Systems (ISoIRS) Pub Date : 2022-10-01 DOI: 10.1109/isoirs57349.2022.00006

引用次数: 0